人工智能轉型工程師負責設計與開發人工智能模型，以提升營運效能並推動人工智能戰略計劃。主要職責包括建立人工智能工作流程、開發使用者介面及優化模型效能。此職位亦需針對代理型人工智能與進階檢索增強生成（RAG）等新技術進行應用研究，確保企業在人工智能創新領域保持領先地位。

職位介紹

• 設計並開發針對特定商業應用場景與營運需求量身打造的人工智能模型
• 建立流程圖與實施計畫，引導模型開發與部署進程
• 部署向量數據庫以支援檢索增強生成（RAG）與語義搜尋功能
• 運用自動化平台實現AI工作流程自動化，優化營運效率
• 針對商業系統整合（含API與中介軟體平台）進行模型部署優化
• 確保人工智能解決方案與企業應用程式及資料管道無縫整合
• 與主管及經理協作，確保部署模型的可重現性、合規性與可擴展性
• 維護技術文件以支援知識傳承與營運連續性
• 進行應用研究以探索新興的人工智能能力
• 評估新工具、框架及方法論，評估其在企業人工智能生態系統中的採用潛力

職位要求
教育程度：電腦科學、數據科學、商業或相關領域之學位
語言能力：能操寫流利英語、廣東話及普通話
工作經驗：

• 具備至少2年以上人工智能/數位轉型、人工智能/機器學習專案經驗
• 具備至少1年以上軟體開發或相關領域經驗
• 具備人工智能工程、機器學習或智能自動化實務經驗
• 具備向量數據庫、工作流程自動化工具及企業系統整合實務經驗者優先

技能：

• 具備 HTML、CSS、JSP、JavaScript、Java、Python、SQL、API（JSON/RESTful）等進階程式設計經驗
• 擁有強大的分析能力、溝通技巧及良好的管理能力
• 設計、開發並實現自動化工具與應用程式的整合方案
• 具備高度道德標準、高度承諾精神，以及應對複雜變動的能力
• 具備上進心並能帶領團隊成員
• 熟悉人工智能技術，如大型語言模型（LLM）、檢索增強生成（RAG）、語音識別如語音轉文字/文字轉語音（ASR/TTS）、自然語言處理及智能自動化
• 具備敏捷開發方法經驗，並精通以下數位工具者尤佳（機器學習框架、容器調度工具、數位工作流程、機器人流程自動化平台）

Job Summary
The Engineer of AI Transformation at Wynn Resorts (Macau) S.A. is responsible for designing and developing AI models to enhance business operations and drive AI strategic initiatives. Key responsibilities include creating AI workflows, developing user interfaces, and optimizing AI model performance. Additionally, this role conducts applied research into emerging technologies such as agentic AI and advanced RAG, ensuring the organization remains a leader in AI innovation.

Key Responsibilities

• Design and develop AI models tailored to specific business use cases and operational needs.
• Create process flow diagrams and implementation plans to guide model development and deployment.
• Implement vector databases to support retrieval-augmented generation (RAG) and semantic search capabilities.
• Automate AI workflows using automation platforms to streamline operations.
• Optimize models for deployment with business system integration, including APIs and middleware platforms.
• Ensure seamless integration of AI solutions with enterprise applications and data pipelines.
• Collaborate with supervisors and managers to ensure reproducibility, compliance, and scalability of deployed models.
• Maintain technical documentation to support knowledge transfer and operational continuity.
• Conduct applied research to explore emerging AI capabilities.
• Evaluate new tools, frameworks, and methodologies for potential adoption within the enterprise AI ecosystem.

Competencies and Requirements
Degree in Computer Science, Data Science, Business, or related field
Proficient written and spoken communication skills in English, Cantonese and Mandarin.
Experience:

• Minimum 2+ years of experience in AI/Digital transformation, AI/ML projects.
• Minimum 1+ years of experience in software development, or related field.
• Experienced in d AI engineering, machine learning, or intelligent automation.
• Practical experience with vector databases, workflow automation tools, and enterprise system integration is an advantage.

Skill:

• Advance programming experience with HTML, CSS, JSP, JavaScript, Java, Python, SQL, API (JSON/RESTful), etc.
• Strong analytical, communication, and stakeholder management skills.
• Design, develop, and implement integration between automation tools and application.
• High ethical standards, level of commitment and ability to cope with complexity and change.
• Self-motivated and be able to lead team members.
• Familiarity with AI technologies such as LLM, RAG, ASR/TTS, natural language processing, and intelligent automation.
• Experience with agile methodologies and proficiency in the following digital tools are considered advantageous (ML frameworks, Container orchestration tools, Digital workflows, RPA platforms)